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Field
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Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11
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computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research
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Funding: School of Computer Science studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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About us Primary Supervisor: Dr Rebecca Baggaley Applications are invited for 1 PhD Studentship for students with a Home Fees status, based at the Institute of Health Informatics, UCL
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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suitable for a hard-working researcher with an interest in respiratory infections. Essential skills: A BSc degree or equivalent ideally in a health related field, excellent computer literacy, good inter
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Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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Contract type: Full time (35 hours - 1FTE), fixed term (18 months) Detailed description The recruited candidate will be responsible for generating a database of qualitative data acquired through focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic...
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period